Hadi Valipour

Head of Data Science & AI

(+61) 466608919 | valipour.au@gmail.com | linkedin.com/in/valipour | github.com/hadoov | Google Scholar | Melbourne, VIC

Executive Profile

Data Science and AI leader operating at the intersection of platform, strategy, and organizational scale. I currently lead AI and data capabilities across multiple business units with focus on roadmap ownership, governance, and high-impact production systems. I partner closely with executive stakeholders to prioritize investments, improve platform performance, and embed data-driven decision making.

Core Strengths

  • Data science leadership and org design for multidisciplinary teams.
  • Platform data science focused on scalability, reliability, and cost efficiency.
  • Experimentation and decision science: A/B/n, CUPED, ICE, and robust evaluation metrics.
  • AI and data strategy with executive alignment and cross-functional delivery.
  • MLOps and production systems: CI/CD, monitoring, drift detection, observability.
  • Executive stakeholder influence across CPO, CTO, CAO, and CFO forums.
  • Responsible AI governance, risk frameworks, and safety guardrails.

Working Experience

Senior Manager, Data Science and AI - Mable

Jan 2026 - Present

Melbourne, Australia

  • Lead multidisciplinary AI and data delivery across Mable, HomeMade, and LeapIn!.
  • Own AI governance, evaluation standards, and operating frameworks.
  • Partner with executive leaders on AI investment, portfolio prioritization, and platform strategy.
  • Drive capability expansion through org design, hiring plans, and cross-team practices.

Manager, Data Science and AI - Mable

May 2022 - Dec 2025

Melbourne, Australia

  • Led production AI systems across matching, ranking, personalization, retention, and automation.
  • Owned experimentation strategy using A/B/n, CUPED, and early-stage ICE prioritization.
  • Defined key evaluation metrics for matching channels, conversational AI, and interventions.
  • Built model CI/CD, drift monitoring, observability, and governance review processes.
  • Delivered platform impact across latency, throughput, and cloud cost optimization.

Director of Engineering and Data Science - Ostadkar

Jul 2019 - Mar 2022

Tehran, Iran

  • Built and led Engineering, Data Science, and Analytics organization (30+ team, 8 direct reports).
  • Led monolith-to-microservices transformation to improve scalability and deployment velocity.
  • Designed experimentation frameworks for dynamic pricing, retention, and recommendation systems.
  • Owned infrastructure cost and resource planning; improved MTTR by about 50%.
  • Business impact: take-rate +6 to +10 points, fulfillment +20%, provider churn down ~30%, lead time down ~25%.

Engineering and Data Science Lead - SIB Team

Dec 2013 - Jul 2019

Tehran, Iran

  • Led engineering and data teams (15+), delivered high-scale systems (~1M daily transactions).
  • Implemented ML for retention, recommendations, forecasting, and sentiment analysis.
  • Impact: bundle-suggestion success up ~40%; telecom retention improved by +20 percentage points.

Senior Software Engineer / Data Scientist - ParsLib

Feb 2012 - Dec 2013

Tehran, Iran

  • Built service-delivery and content-pool platforms with production NLP and CV applications.
  • Scaled content systems to ~100K items and supported both development and infrastructure operations.

Earlier Roles and Research Experience

2008 - 2012

  • Software Engineer (Part-time), ParsLib
  • Researcher, Multimedia Processing Lab
  • Visiting Researcher, Cognitive Robotics Lab
  • Software Development Intern, IranAir

Education

Master’s Degree, Computer Science - Artificial Intelligence

Amirkabir University of Technology, Tehran, Iran (2009 - 2012)

Technical Toolbox

  • LLMs & GenAI: Agentic assistants, RAG, prompt engineering, fine-tuning, evaluation harnesses.
  • Ranking & Personalization: contrastive learning, learning-to-rank, embeddings, offline/online eval.
  • Experimentation: A/B/n, CUPED, telemetry-driven iteration, guardrails.
  • MLOps & Reliability: CI/CD, canarying, drift monitoring, SLOs, incident playbooks.
  • Cloud & Tooling: Python, SQL, Spark/PySpark, Databricks, MLflow, AWS/GCP.

Selected AI Projects & Initiatives

Agentic AI System for Workflow Automation (Attain Healthtech)

2025

Designed a GenAI agent integrated with internal systems to triage inbound communication, generate responses, and take operational actions.

GenAI Agentic Assistant for Customer Guidance (Mable)

2024 - 2025

Delivered personalized conversational assistance to improve customer navigation and service discovery.

AI-Based Shift Notes Moderation (Attain Healthtech)

2023 - 2024

Built a custom LLM-based moderation system for large-scale welfare note review; finalist in Australian AI Award 2025.

Client Churn Reduction with Proactive Intervention (Mable)

2024

Used deep multivariate time-series classification to predict churn and trigger proactive interventions.

Job-Provider Matching Optimization (Mable)

2022 - 2023

Developed a supervised contrastive representation model to improve matching success prediction.

Adaptive Pricing and Revenue Forecasting (Ostadkar)

2021

Implemented adaptive pricing and model selection to optimize take-rate and marketplace performance.

Selected Publications

  • Enhanced Job Exposure with Supervised Contrastive Person-Job Fit Matching in Two-sided Marketplaces (in progress for AAAI’26).
  • Customer Churn Prediction Using Supervised Contrastive Learning and Representation Trajectory Tracking (in progress for AAAI’26).
  • GHRS: Graph-based Hybrid Recommendation System, Expert Systems with Applications, 2022.
  • Optimization of Emotional Learning Approach to Control Systems with Unstable Equilibrium, LNAI, 2015.
  • Digital Modulation Recognition Based on GMM Supervector SVM, 17th CSI Annual Conference, 2012.
  • A Brief Survey of Software Architecture Concepts and Service-Oriented Architecture, IEEE ICCSIT, 2009.

Awards & Memberships

  • Finalist, Australian AI Award 2025 (AI-Based Moderation Services, Attain Healthtech).
  • Outstanding Paper, IEEE/ACIS SNPD 2014; Best Paper, CSI 2012.
  • Honourable Mention (twice), ICPC ACM Asia Regional Programming Contest (2005, 2006).
  • Reviewer for Engineering Applications of AI (Elsevier), Scientific Reports (Nature), IEEE JBHI, and conferences.

CV

Download the latest CV: Hadi Valipour - CV - Mar 2026.